Data Analyst
Location: Remote, US
Industry: Telecommunication
Work Setting: Remote
Are you passionate about transforming complex business data into strategic insights that drive organizational performance and executive decision-making? We are seeking a Data Analyst to serve as a trusted analytics partner, delivering reporting, advanced analyses, forecasting, experimentation, and data-driven recommendations that support growth, operational excellence, and customer success.
Position Summary
The Data Analyst partners with business leaders, including executive leadership and C-suite stakeholders, to develop actionable insights, scalable reporting solutions, and analytical frameworks that improve organizational performance. This role combines business analytics, statistical analysis, data visualization, experimentation, forecasting, and cross-functional collaboration to support informed decision-making across marketing, sales, operations, and other business functions.
Key Responsibilities
Business Analytics & Strategic Insights
- Partner with business stakeholders to identify opportunities, solve complex business challenges, and support strategic initiatives.
- Translate analytical findings into actionable recommendations and measurable business outcomes.
- Serve as a trusted advisor, helping leaders understand performance drivers and prioritize improvement initiatives.
- Identify trends, risks, opportunities, and operational inefficiencies through data analysis.
- Drive a culture of data-informed decision-making across the organization.
Performance Measurement & KPI Analytics
- Measure the effectiveness of operational initiatives and strategic programs.
- Evaluate business performance against established KPIs and organizational goals.
- Analyze conversion funnels, customer acquisition, operational performance, and revenue-generating activities.
- Develop frameworks to monitor progress, pacing, and year-over-year performance.
- Recommend process improvements based on statistical and financial analysis.
Reporting & Dashboard Development
- Design, develop, and maintain executive dashboards, scorecards, and reporting solutions.
- Build scalable reporting frameworks that provide consistent and reliable business visibility.
- Deliver recurring performance updates to leadership and stakeholders.
- Improve self-service analytics capabilities through intuitive reporting and visualization tools.
- Ensure data accuracy, consistency, and clarity across reporting assets.
Root Cause Analysis & Problem Solving
- Conduct deep-dive analyses to identify drivers behind performance changes and business outcomes.
- Perform root cause analysis (RCA) to understand trends, anomalies, and operational challenges.
- Investigate issues across multiple data sources and business functions.
- Provide evidence-based recommendations supported by quantitative analysis.
Advanced Analytics & Statistical Modeling
- Apply advanced analytical methodologies to support strategic planning and business optimization.
- Develop and utilize:
- Regression Analysis
- Forecasting Models
- Segmentation Analysis
- Trend Analysis
- Predictive Analytics
- Attribution Analysis
- Support demand forecasting, performance projections, and scenario evaluation.
- Deliver statistically rigorous insights that support executive decision-making.
Experimentation & Testing
- Design and support A/B testing and experimental frameworks.
- Conduct hypothesis testing and statistical validation of business initiatives.
- Evaluate results using confidence intervals, significance testing, and business impact analysis.
- Present clear recommendations based on experimental findings.
- Promote best practices in experimentation and measurement.
Data Management & Analytics Enablement
- Integrate and analyze data from multiple enterprise systems and business functions.
- Develop calculation logic, metrics, and analytical requirements for reporting and engineering teams.
- Create data models, wireframes, and reporting specifications that support automation initiatives.
- Maintain data dictionaries, metric definitions, business logic, and documentation.
- Support data governance and metric standardization efforts.
Cross-Functional Collaboration
- Partner with:
- Executive Leadership
- Marketing Teams
- Sales Organizations
- Operations Leaders
- Data Engineering Teams
- Reporting & BI Teams
- Gather requirements and translate business needs into analytical solutions.
- Communicate insights to technical and non-technical audiences.
- Influence decision-making through strong data storytelling and business context.
Data Governance & Compliance
- Support data quality, governance, and documentation initiatives.
- Ensure compliance with data security and privacy regulations.
- Maintain integrity and reliability of reporting frameworks and analytics assets.
- Contribute to the evolution of enterprise analytics capabilities and standards.
Required Qualifications
- Bachelor’s degree in:
- Business
- Economics
- Statistics
- Analytics
- Mathematics
- Related quantitative discipline
- 5+ years of experience in:
- Data Analytics
- Business Analytics
- Statistical Analysis
- Forecasting
- Data Science-related functions
- Strong ability to analyze large and complex datasets.
- Experience delivering insights to senior business leaders.
- Strong stakeholder management and requirements gathering skills.
- Excellent written, verbal, and presentation skills.
- Ability to work independently and manage multiple priorities simultaneously.
Technical Skills
Analytics & Statistics
- Statistical Analysis
- Forecasting
- Regression Modeling
- Segmentation Analysis
- Predictive Analytics
- Root Cause Analysis
- KPI Development
- Business Performance Analysis
- Attribution Modeling
- Hypothesis Testing
Programming & Querying
- SQL
- Python
- R
- DAX
- Advanced Excel
Business Intelligence & Visualization
- Power BI
- Tableau
- Dashboard Development
- Data Storytelling
- Executive Reporting
- Performance Reporting
Data Platforms & Technologies
- Microsoft Fabric
- Azure Data Services
- Salesforce Analytics
- Google Analytics 4 (GA4)
- Git Repositories
- Enterprise Data Warehouses
Data Management
- Data Modeling
- Data Documentation
- Metric Governance
- Data Dictionaries
- Data Architecture Concepts
- Data Quality Management
Preferred Skills
- Experience working with:
- Microsoft Fabric
- Azure Analytics Ecosystems
- Salesforce Data
- GA4 Analytics
- Enterprise Reporting Platforms
- Experience building predictive and forecasting models.
- Familiarity with automated reporting and data pipeline initiatives.
- Experience supporting executive-level decision making.
- Experience creating proof-of-concept analytical tools and performance tracking frameworks.
Key Skills
- Data Analysis
- Business Analytics
- SQL
- Python
- Power BI
- Tableau
- DAX
- Forecasting
- Statistical Modeling
- KPI Reporting
- Data Visualization
- Dashboard Development
- Root Cause Analysis
- A/B Testing
- Predictive Analytics
- Data Storytelling
- Executive Communication
- Salesforce Analytics
- GA4
- Microsoft Fabric